O'Neill, Donal and Doris, Aedin and Sweetman, Olive (2010) Identification of the Covariance Structure of Earnings using the GMM Estimator. NUI Maynooth. (Unpublished)

Download (314kB)

Abstract

In this paper we study the performance of the GMM estimator in the context of the covariance structure of earnings. Using analytical and Monte Carlo techniques we examine the sensitivity of parameter identification to key features such as panel length, sample size, the degree of persistence of earnings shocks and the evolution of inequality over time. We show that the interaction of transitory persistence with the time pattern of inequality determines identification in these models and offer some practical recommendations that follow from our findings.

Item Type:	Other
Academic Unit:	Faculty of Social Sciences > Economics, Finance and Accounting
Item ID:	1932
Depositing User:	Ms Sandra Doherty
Date Deposited:	18 May 2010 15:28
Publisher:	NUI Maynooth
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads